Bridgetown Research
Senior Backend Engineer
- Compensation
- Not disclosed
- Location
- Bangalore
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Backend
- Posted
Skills
Must have
- 5 - 8+ years of backend engineering experience with deep expertise in TypeScript/Node.js (NestJS, Express) and strong Python proficiency.
- Proven track record of designing and scaling distributed systems in production on AWS.
- Strong multi-database fluency - you've architected systems across relational (PostgreSQL), NoSQL (DynamoDB), search (Elasticsearch), and analytical stores (Athena), and can reason about when to use wh
- Hands-on with Terraform, Docker, and Kubernetes - you've set up and maintained production infrastructure, not just used it.
- Experience managing data at scale - schema evolution, ETL/ELT patterns, query performance, and lightweight warehouse maintenance.
- Strong security posture - experience designing secure systems end-to-end, including auth architectures, threat modelling, secure CI/CD pipelines, and compliance-aware data handling.
- Deep understanding of the AI landscape - LLMs, agentic patterns, function calling, RAG, embeddings - and the ability to translate that into engineering decisions.
- Awareness of GCP and Azure architectures, even if AWS is your primary.
- Strong opinions on system design, loosely held - you make architectural tradeoffs explicit and drive alignment across teams.
- Startup tempo - you ship fast without cutting corners on what matters.
Nice to have
- Experience building voice/realtime AI systems (WebRTC, streaming APIs).
- Hands-on with agent orchestration frameworks or building custom agent runtimes.
- Prior experience as a technical lead or architect in a startup scaling from 15 to 50+ engineers.
- Exposure to cross-account AWS architectures, security posture design (SCPs, IAM boundaries).
- Frontend familiarity, especially React, Next.js and Vercel.
Full description
We're hiring a Senior Backend Engineer (SDE-3) to own system-level architecture and technical direction across our AI product platform. Our products span voice-based interview systems, an agentic orchestration engine, fraud detection, data enrichment, and a growing suite of AI-native tools. You'll operate at the intersection of backend systems, data infrastructure, and applied AI - making foundational decisions that the rest of the engineering team builds on.
Responsibilities:
- Drive feature strategy alongside product - break down complex product bets into phased technical plans and lead execution across the team.
- Own the full lifecycle of major product features - scoping, technical design, cross-team coordination, delivery, and post-launch iteration.
- Architect and evolve our backend platform across Node.js/TypeScript and Python services on AWS - making decisions on service boundaries, data flow, resilience, and scale.
- Own end-to-end delivery of large, ambiguous projects - from scoping and design through rollout and operational stability.
- Design and maintain our data layer spanning PostgreSQL, DynamoDB, Elasticsearch, and Athena; own the lightweight data warehouse strategy, including schema design, query optimisation, and data pipeline reliability.
- Define and enforce infrastructure-as-code practices with Terraform; drive containerization and orchestration standards with Docker and Kubernetes.
- Lead the technical approach to AI-native product development - agentic orchestration, LLM integration patterns, tool-use architectures, and real-time voice systems.
- Champion secure engineering practices across the team - establish standards for auth (OAuth/JWT/RBAC), input validation, secrets management, dependency scanning, OWASP compliance, and data privacy.
- Set engineering standards for code quality, testing, observability, and incident response.
- Mentor SDE-1s and SDE-2s through design reviews, code reviews, and pairing; raise the bar on engineering culture.
- Be a force multiplier - identify bottlenecks (technical and process), propose solutions, and unblock the team.
Requirements:
- 5 - 8+ years of backend engineering experience with deep expertise in TypeScript/Node.js (NestJS, Express) and strong Python proficiency.
- Proven track record of designing and scaling distributed systems in production on AWS.
- Strong multi-database fluency - you've architected systems across relational (PostgreSQL), NoSQL (DynamoDB), search (Elasticsearch), and analytical stores (Athena), and can reason about when to use what.
- Hands-on with Terraform, Docker, and Kubernetes - you've set up and maintained production infrastructure, not just used it.
- Experience managing data at scale - schema evolution, ETL/ELT patterns, query performance, and lightweight warehouse maintenance.